Description of the workshop and its relevance

In the late years Deep Learning has been a great force of change on most computer vision tasks. In video analysis problems, however, such as action recognition and detection, motion analysis and tracking, shallow architectures remain surprisingly competitive. What is the reason for this conundrum? Larger datasets are part of the solution. The recently proposed Sports1M helped recently in the realistic training of large motion networks. Still, the breakthrough has not yet arrived.

Assuming that the recently proposed video datasets are large enough for training deep networks for video, another likely culprit for the standstill in video analysis is the capacity of the existing deep models. More specifically, the existing deep networks for video analysis might not be sophisticated enough to address the complexity of motion information. This makes sense, as videos introduce an exponential complexity as compared to static images. Unfortunately, state-of-the-art motion representation models are extensions of existing image representations rather than motion dedicated ones. Brave, new and motion-specific representations are likely to be needed for a breakthrough in video analysis.

Calling papers for brave new ideas

Attempting to publish a wild, but intriguing idea can be daunting, resulting in slow progress. On one hand a controversial new idea might be rejected by top-tier conferences, without the right experimental justification. On the other hand, researchers may not want to reveal a smart idea too soon in the fear of not receiving the right credit. To make amends with these two factors, the workshop will admit maximum 8-page papers describing novel, previously unseen ideas without necessarily requiring exhaustive quantitative justifications. Authors can also submit 4 page brief papers but those will not be included in the proceedings (please refer to the instructions given bellow). Moreover, to make sure proper accreditation is given in the future, the workshop will have an open-review process, where all submitted papers should first be uploaded to arXiv.

Expert speakers

To kickstart the discussion we have confirmed speakers from different fields, details will follow.

Topics

The workshop focuses on motion representations related, but not limited, to the following topics:

Important Dates

15th May 2017

4 Page Acceptance

22nd May 2017

8 Page Acceptance

3rd May 2017

8 Page Camera ready

15th May 2017

Submission

Constructive discussion

The workshop's goal is a constructive, creative and open conversation. In principle we will accept all papers. All reviews will be made publicly available. Reviewers can choose to remain anonymous or to reveal their identity to encourage collaboration and positive feedback. We include poster presentations and will select a few of the best and bravest papers for an oral presentation.

Instructions

You can submit papers in two different formats.

1.Full paper submission should include 8 pages of text and should use the CVPR 2017 camera ready format as per the instructions given here. Full paper submission should include 8 pages (excluding references) and will be included in the proceedings of the CVPR17 workshops. Therefore, the deadline for full paper submission is 7th April 2017.

2. Authors can also submit 4 Page papers which will be peer reviewed. However, they will not be include in the proceedings. Please follow the
CVPR 2017 camera ready format as per the instructions given here but limit your paper to 4 pages excluding references.

All papers should have the names of the authors, institute and the email address in the header of the paper as per the camera ready format of CVPR 2017. Authors are encouraged to upload their papers in archive.